4 papers
Classical and Quantum Heuristics for the Binary Paint Shop Problem
V Vijendran, Dax Enshan Koh, Ping Koy Lam +1
The Binary Paint Shop Problem (BPSP) is an -hard optimisation problem in automotive manufacturing: given a sequence of cars, comprising distinct models each…
Automating Experimental Optics with Sample Efficient Machine Learning Methods
Arindam Saha, Baramee Charoensombutamon, Thibault Michel +7
As free-space optical systems grow in scale and complexity, troubleshooting becomes increasingly time-consuming and, in the case of remote installations, perhaps impractical. An ex…
Near-Optimal Parameter Tuning of Level-1 QAOA for Ising Models
V Vijendran, Dax Enshan Koh, Eunok Bae +3
The Quantum Approximate Optimisation Algorithm (QAOA) tackles combinatorial optimisation problems by encoding their solutions into the ground state of an Ising Hamiltonian prepared…
Modified Recursive QAOA for Exact Max-Cut Solutions on Bipartite Graphs: Closing the Gap Beyond QAOA Limit
Eunok Bae, Hyukjoon Kwon, V Vijendran +1
Quantum Approximate Optimization Algorithm (QAOA) is a quantum-classical hybrid algorithm proposed with the goal of approximately solving combinatorial optimization problems such a…